Open AccessImplementation of a Hybrid ANN-Based Filter for the Reduction of Harmonic Currents
Author(s) -
José Abel Obando,
Victoria Alcaraz Serrano
Publication year - 2021
Publication title -
european journal of electrical engineering
Language(s) - English
Resource type - Journals
eISSN - 2116-7109
pISSN - 2103-3641
DOI - 10.18280/ejee.230311
Subject(s) - harmonics , total harmonic distortion , harmonic , artificial neural network , control theory (sociology) , electrical network , filter (signal processing) , electronic filter , voltage , matlab , electronic engineering , engineering , signal (programming language) , electric power system , computer science , power (physics) , electrical engineering , acoustics , control (management) , physics , artificial intelligence , quantum mechanics , programming language , operating system
Harmonic distortions caused by non-linear loads (NLLs) affect the behavior of electrical systems, creating harmonics in the fundamental signal. As a result, this deteriorates the power quality. Therefore, this work proposes the implementation of a hybrid filter based on an artificial neural network (ANN) control system, focused on subharmonic, interharmonic and odd harmonic distortions generated by a three-pulse cycloconverter. In addition, a passive double tuned filter was implemented to damp even and odd harmonics. As a result, the simulation performed in MATLAB/SIMULINK showed that the responses produced by the ANN are approximate to the distortions present in the electrical system. Consequently, the levels of total voltage distortions (THDV) and total current distortions (THDI) are reduced. Therefore, the ANN control system improves the quality in the electrical network because the current and voltage harmonics comply with the electrical standards.